This repository reflects my current state of knowledge of Bayesian Inference. It contains notes, notebooks, and tools from my talks, workshops, and readings since January 2018.
Are you interested in learning more about the following topics?
- Probabilistic programming
- Bayesian Data Analysis
- How to think like a Bayesian
- Applications of Bayesian Inference
So am I. Follow this repository for more updates!
| Title | Description / Features | Resources | |
|---|---|---|---|
| 1 | Bayesian Thinking with Tensorflow Probability | Talk at TFUG Chennai Online Meetup | Notebooks |
| Slides | |||
| 2 | tfp_helper: Helper Library for prototyping with Tensorflow Probability |
Inference Button | Code |
arviz adapter for Plotting |
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| Smart Progress Bar ▓▓▓▓▓▓▓▓▓▓░░░░░ |
Instructions on getting the repo setup and running on your local machine.
Install requirements for tensorflow_probability-based notebooks.
pip install -r tfp/requirements.txtInstall requirements for pymc3-based notebooks.
pip install -r pymc/requirements.txtInstall global requirements for running all the notebook.
pip install -r requirements_global.txtInstructions for running tfp tests.
pytest tfp/tests.pyRunning pymc tests.
pytest pymc/tests.py- Examples from Cameron Davidson-Pilon's Book Bayesian Methods for Hackers
- Data borrowed from Robert R.F. DeFilippi's blog on Bayesian Analysis of Traffic Patterns
- Covid-19 Bayesian Forecast plot borrowed from Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions
- Template for slides borrowed from Junpen Lao's A Hitchhiker's Guide to designing a Bayesian library in Python
This project is licensed under the GNU GPL v3.0 License - see the LICENSE file for details.